Hyperspectral sensing of heavy metals in soil and vegetation: Feasibility and challenges

F Wang, J Gao, Y Zha - ISPRS journal of photogrammetry and remote …, 2018 - Elsevier
Remote sensing of heavy metal contamination of soils has been widely studied. These
studies concentrate heavily on the hyperspectral reflectance of typical metals in soils and in …

Application of visible/near-infrared spectroscopy and hyperspectral imaging with machine learning for high-throughput plant heavy metal stress phenoty**: A review

Y Zhai, L Zhou, H Qi, P Gao, C Zhang - Plant Phenomics, 2023 - spj.science.org
Heavy metal pollution is becoming a prominent stress on plants. Plants contaminated with
heavy metals undergo changes in external morphology and internal structure, and heavy …

[HTML][HTML] Estimating low concentration heavy metals in water through hyperspectral analysis and genetic algorithm-partial least squares regression

Y Lin, J Gao, Y Tu, Y Zhang, J Gao - Science of the Total Environment, 2024 - Elsevier
Hyperspectral spectrum enables assessment of heavy metal content, but research on low
concentration in water is limited. This study employed in situ hyperspectral data from Dalian …

Mineral prospecting from biogeochemical and geological information using hyperspectral remote sensing-Feasibility and challenges

R Chakraborty, G Kereszturi, R Pullanagari… - Journal of Geochemical …, 2022 - Elsevier
Biogeochemistry is an effective and fast approach for orientation studies in mineral
exploration. Vegetative cover has been used in a range of geological environments to gain …

Monitoring effects of heavy metal stress on biochemical and spectral parameters of cotton using hyperspectral reflectance

S Priya, R Ghosh - Environmental Monitoring and Assessment, 2023 - Springer
Monitoring heavy metal pollution in agricultural ecosystems is crucial to ensure
environmental safety. Heavy metals interfere with plants' biochemical characteristics, such …

A new narrow band vegetation index for characterizing the degree of vegetation stress due to copper: the copper stress vegetation index (CSVI)

C Zhang, H Ren, Q Qin, OK Ersoy - Remote Sensing Letters, 2017 - Taylor & Francis
This study proposed a new narrow band index to characterize the Cu (Copper) stress
degree on vegetation (Copper Stress Vegetation Index, CSVI). Firstly, the spectral …

Geochemistry of Terrestrial Plants in the Central African Copperbelt: Implications for Sediment Hosted Copper-Cobalt Exploration

P Mukube, M Hitzman, L Machogo-Phao… - Minerals, 2024 - mdpi.com
Mineral exploration has increasingly targeted areas covered by in situ or transported
overburden for shallow to deep-seated orebodies. It remains critical to develop better means …

Multi-omics responses of barley seedlings to low and high linear energy transfer irradiation

P Volkova, A Prazyan, M Podlutskii, V Saburov… - Environmental and …, 2024 - Elsevier
Barley is a resilient crop with high nutritional value and adaptability, making it a promising
candidate for phytoremediation and space agriculture. The study presents a comprehensive …

Optical imaging spectroscopy coupled with machine learning for detecting heavy metal of plants: A review

J Li, J Ren, R Cui, K Yu, Y Zhao - Frontiers in Plant Science, 2022 - frontiersin.org
Heavy metal elements, which inhibit plant development by destroying cell structure and
wilting leaves, are easily absorbed by plants and eventually threaten human health via the …

Monosilicic acid potential in phytoremediation of the contaminated areas

X Ji, S Liu, J Huang, E Bocharnikova, V Matichenkov - Chemosphere, 2016 - Elsevier
The contamination of agricultural areas by heavy metals has a negative influence on food
quality and human health. Various remediation techniques have been developed for the …